Table 2
Multiple linear regression models
| Criterion | R | R2adj | D-W | Predictors | Beta | t | T | VIF |
| Intrinsic motivation | .46 | .21 | 2.01 | (Constant) | 13.37*** | |||
| Positive general FB | .34 | 5.98*** | .58 | 1.73 | ||||
| Execution FB | .07 | 1.29 | .67 | 1.49 | ||||
| Positive NV-FB | .11 | 2.04* | .67 | 1.49 | ||||
| Negative NV-FB | –.02 | –.54 | .97 | 1.03 | ||||
| Identified motivation | .44 | .19 | 1.91 | (Constant) | 13.10*** | |||
| Positive general FB | .35 | 5.94*** | .58 | 1.73 | ||||
| Execution FB | .02 | .31 | .67 | 1.49 | ||||
| Positive NV-FB | .12 | 2.28* | .67 | 1.49 | ||||
| Negative NV-FB | –.05 | –1.05 | .97 | 1.03 | ||||
| Introjected motivation | .22 | .04 | 1.70 | (Constant) | 7.39*** | |||
| Positive general FB | .08 | 1.23 | .57 | 1.73 | ||||
| Execution FB | –.10 | –1.75 | .67 | 1.49 | ||||
| Positive NV-FB | .13 | 2.21* | .67 | 1.49 | ||||
| Negative NV-FB | .15 | 2.97** | .97 | 1.03 | ||||
| Extrinsic motivation | .27 | .06 | 1.56 | (Constant) | 12.61*** | |||
| Positive general FB | –.08 | –1.25 | .57 | 1.73 | ||||
| Execution FB | –.12 | –2.16* | .67 | 1.49 | ||||
| Positive NV-FB | .11 | 1.87 | .67 | 1.49 | ||||
| Negative NV-FB | .20 | 4.12*** | .97 | 1.03 | ||||
| Amotivation | .35 | .12 | 1.81 | (Constant) | 8.77*** | |||
| Positive general FB | –.26 | –4.30*** | .57 | 1.73 | ||||
| Execution FB | –.01 | –.06 | .67 | 1.49 | ||||
| Positive NV-FB | .06 | 1.02 | .67 | 1.49 | ||||
| Negative NV-FB | .24 | 5.16*** | .97 | 1.03 | ||||
| Note. D-W = Durbin–Watson; T = Tolerance; VIF = Variance Inflation Factor; FB = Feedback; NV = Nonverbal. *p < .05, **p < .01, ***p < .001 | ||||||||
